Automate load testing
from code to production

Eliminate manual configuration, integrate seamlessly with CI/CD, and let intelligent automation handle the repetitive work, so your teams can focus on delivering fast, reliable software.

Why teams choose Gatling for automation

Built for every role

Developers

Trigger tests directly from commits, version-control configurations, and debug locally before pushing changes.

Quality Engineers

Schedule and run tests automatically, configure stop criteria, and get results in Slack or Teams without logging in.

Performance engineers

Scale tests predictably, manage infrastructure with IaC, and align testing with SLAs and real traffic patterns.

Tech leaders

Standardize testing processes across teams, enforce quality gates, and ensure consistent performance validation before release.

Business leaders

Receive timely, automated performance reports to support data-driven release decisions and track reliability over time.

Automate test configuration with code

See how our platform lets you define and version-control your entire testing setup (environment, settings, packages, and simulations) directly in code.

Full lifecycle load testing automation

With Gatling, your entire load testing strategy becomes code you control, flexible, versioned, and infinitely customizable. Design every aspect of your load tests programmatically with Gatling’s powerful SDKs (Java, Scala, Kotlin, JavaScript, TypeScript).

Design and configure tests

Native support for Maven, Gradle, npm, sbt. No manual setup

Configuration-as-code for reproducible, version-controlled runs

Seamless automation with AI-enabled IDEs including autocomplete, syntax validation, and intelligent refactoring

Build tests directly from your source repositories to avoid mismatches

Run simulations automatically

Trigger tests in CI/CD pipelines for early performance feedback

Provision and tear down infrastructure with Terraform, Helm, AWS CloudFormation, AWS CDK

Intelligent stop criteria to save costs and prevent production impact

Analyze and share results instantly

Automated notifications in Slack, Microsoft Teams, or via webhooks

Share secure, time-limited public links for no-login access to results

Public APIs to trigger downstream actions (tickets, rollbacks, alerts)

Automate every step
of your load testing workflow

Boost efficiency and protect your budget at scale

Our platform helps you optimize resource usage, prevent waste, and run performance tests only when it matters most, so you can protect your budget while maintaining confidence in your releases.

Illustration Modern load testing for performance-driven teams

Automate simulation stop logic

End tests automatically when thresholds, events, or time limits are reached, avoiding unnecessary resource consumption
and costs.

Leverage robust public APIs

Integrate simulation management into your orchestration tools and platform operations for full control and automation.

Enable hands-off test execution

Use programmable controls to match your production scenarios and SLAs, ensuring tests are both accurate and cost-effective.

Right-size
your infrastructure

Use load testing data to fine-tune scaling policies and avoid over-provisioning “just in case” or under-provisioning that causes outages.

Test during optimal windows

Schedule simulations around traffic patterns, maintenance windows, and system readiness to maximize accuracy and minimize impact
on live environments.

Our platform in action

From test design to insight sharing, Gatling gives you full control of your load testing strategy

Illustration Integrate load testing across your CI/CD workflows
Illustration Deploy trafic globally, from cloud or private zones

Frequently asked questions (FAQs) about automation and load testing

Can load testing be automated?

Yes. Load testing automation integrates directly into CI/CD workflows, allowing teams to execute simulations against realistic traffic patterns as part of every build rather than as a special event.

What makes Gatling different from other load testing tools?

Gatling uses code-based test creation with SDKs for Java, Scala, Kotlin, JavaScript, and TypeScript, enabling version-controlled configurations, CI/CD automation, and infrastructure-as-code provisioning without manual setup.

How does Gatling compare to JMeter for automation?

Gatling provides configuration-as-code, version-controlled test definitions, and native build tool support (Maven, Gradle, npm, sbt) without manual setup. The platform automates the entire testing lifecycle from test design through result sharing, while JMeter requires more manual configuration.

Why use Gatling over K6 for load testing?

Gatling Enterprise delivers automated infrastructure provisioning with Terraform, Helm, AWS CloudFormation, and AWS CDK, plus built-in integrations with Datadog, Dynatrace, New Relic, and InfluxDB. The platform includes automated stop criteria to control costs and secure, no-login result sharing via time-limited public links.

Your all-in-one load testing platform

Design complex tests, manage global infrastructure, and turn results into action on one powerful platform.

Need technical references and tutorials?

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